Cybersecurity in Healthcare Applications
Chapman & Hall/CRC (Verlag)
978-1-032-70819-5 (ISBN)
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The book explores the critical challenge of securing sensitive medical data in the face of rising cyber threats. It examines how artificial intelligence can be leveraged to detect and mitigate cyber threats in healthcare environments. It integrates advanced technologies such as AI security applications, blockchain techniques, cryptanalysis, and 5G security to strengthen the protection of healthcare systems. By offering insights into the latest vulnerability assessment technologies and effective protection strategies, this book serves as an essential resource for professionals and researchers dedicated to enhancing cyber security in the healthcare industry.
Dr. S. Poonkuntran earned a BE degree in Information Technology from Bharathidasan University, Tiruchirappalli, India; and MTech and PhD degrees in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli, India. He is presently with VIT Bhopal University, Madhya Pradesh, India as Professor & Dean for the School of Computing Science and Engineering. He has more than a decade of experience in teaching and research and successfully executed three funded research grant projects from the Indian Space Research Organization, Defense Research Development Organization, and Ministry of New and Renewable Energy, Government of India, to the tune of 1.10 Crores. He received two seminar grants from Anna University, Chennai, and the All-India Council for Technical Education-Indian Society for Technical Education for the tune of 4 Lacs. He has published more than 90 technical publications, authored 8 books and 2 chapters and 5 patents. He is the recipient of Cognizant Best Faculty Award 2017–18 and served as a State Level Student Coordinator for Region VII, CSI, India in 2016–17. He is a lifetime member of IACSIT, Singapore, CSI, India, and ISTE, India. His research areas of interests include information security, computer vision, artificial intelligence, and machine learning. Dr. Rajesh Kumar Dhanaraj is a distinguished Professor at Symbiosis International (Deemed University) in Pune, India. Before joining Symbiosis International University, he served as a Professor at the School of Computing Science & Engineering at Galgotias University in Greater Noida, India. His academic and research achievements have earned him a place among the top 2% of scientists globally, a recognition bestowed upon him by Elsevier and Stanford University. He earned his B.E. degree in Computer Science and Engineering from Anna University Chennai, India, in 2007. Subsequently, he obtained his M.Tech degree from Anna University Coimbatore, India, in 2010. His relentless pursuit of knowledge culminated in a Ph.D. in Computer Science from Anna University, Chennai, India, in 2017. He has authored and edited over 50 books on various cutting-edge technologies and holds 22 patents. Furthermore, he has contributed over 115 articles and papers to esteemed refereed journals and international conferences, in addition to providing chapters for several influential books. Dr. Dhanaraj has shared his insights with the academic community by delivering numerous tech talks on disruptive technologies. He has forged meaningful partnerships with esteemed professors from top QS-ranked universities around the world, fostering a global network of academic excellence. His research interests encompass Machine Learning, Cyber-Physical Systems, and Wireless Sensor Networks. Dr. Dhanaraj's expertise in these areas has led to numerous research talks on Applied AI and Cyber Physical Systems at various esteemed institutions. Dr. Dhanaraj has earned the distinction of being a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is also a member of the Computer Science Teacher Association (CSTA) and the International Association of Engineers (IAENG). Dr. Dhanaraj's commitment to academic excellence extends to his role as an Associate Editor and Guest Editor for renowned journals, including Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, and Hindawi - Mobile Information Systems. His expertise has earned him a position as an Expert Advisory Panel Member of Texas Instruments Inc., USA. Dr. S. Aanjankumar holds a doctorate from Anna University in the topic of botnet security and an M.E. in software engineering from Anna University. He has academic experience spanning 10 years and has worked at various levels up to Associate Professor, UG-HoD. He has 17 publications in peer-reviewed international and national journals with high impact factors and 11 publications in various international conferences held in India and abroad. He has authored a book titled Graph Theory and Applications under the Anna University syllabus, and the "Botnet Evolution book under the Vsrd publication has been taken by Amity University for web security reference. He is also a reviewer for SCI journals, and he has 3 SCI journal publications with an impact factor above 3, 12 Scopus-indexed publications, 2 book chapter, and 1 Indian patent and 1 UK Design Patent that he has authored and published. His main areas of research include software engineering, cyber forensics, network security, and human-computer interaction. Dr. Malathy Sathyamoorthy is an Assistant professor in the department of Information Technology, KPR institute of Engineering and Technology, Coimbatore, Tamil Nadu,India. She received her M.E degree in Computer Science and Engineering from Anna University, India in 2012. She completed Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India, in 2023. She is a life member of Indian Society for Technical Education (ISTE) and International Association of Engineers (IAENG). She published more than 25 Research Papers in various High-Quality SCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 22 Papers in International Conferences indexed with Springer and IEEE Xplore, 2 patents, 1 book and4 Book Chapters in various SCOPUS, WEB OF SCIENCE Indexed Books with Springer, CRC Press and Elsevier. Wireless Sensor Networks, Networking, Security and Machine Learning are her research interests. She is acting as a reviewer in Springer – Wireless Networks and editorial board member in many international conferences.
1. An introduction to the Challenges and Issues Identified in Digital Health and Wellness Cybersecurity. 2. Block Chain Frameworks for Healthcare Data Storage and Exchange. 3. Leveraging Blockchain Frameworks for Enhanced Healthcare Data Storage and Exchange. 4. FOG Computing and Blockchain-Supported Identity Management for IoMT: An Advancement in Personalized Healthcare. 5. Artificial Intelligence and Security Management in Digital Healthcare Using Fifth Generation Communications. 6. Synergizing Cyber Security and Neuro-imaging Biomarkers: Innovations in Deep Learning for Diagnosis and Progression Monitoring. 7. A Preview of Cybersecurity Measures in Healthcare Applications Using 5G
G. Indumathi, V. Karthikeyan, and V. Arun Raj. 8. Ensemble Based Feature Selection Method for DDoS (EBFM - DDoS) Attack Detection of Healthcare Data in Cloud Environment. 9. An Analysis Over Identity Management for Digital Healthcare and Importance of Medical Internet of Things. 10. Authentication and Access Control Protocols in Digital Health and Wellness: Strengthening Security with Quantum-Resistant Cryptography. 11. ECG-Based Authentication System with enhanced Security Using Modified CNN Classifier. 12. Ransomware and Risk management in Digital Health and Wellness security. 13. Wellness Management Using Incident Response Strategies and Recovery Tools: Practices and Proposal in Healthcare. 14. Future Trends and Directions in Digital Health and Wellness Security. 15. Case Study on Botnet Attacks in Healthcare Sector and P2P Networks. 16. ETI-GCN: Explicit to Implicit Graph Convolution Network for Personalized Recommender System in e-Commerce and Healthcare. 17. Enhancing Health Care: Gan-Based Stress Detection with Capsule Networks and Lion Optimization.
| Erscheint lt. Verlag | 25.2.2025 |
|---|---|
| Zusatzinfo | 55 Tables, black and white; 88 Line drawings, black and white; 5 Halftones, black and white; 93 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Netzwerke ► Sicherheit / Firewall | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-032-70819-0 / 1032708190 |
| ISBN-13 | 978-1-032-70819-5 / 9781032708195 |
| Zustand | Neuware |
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